Transform any audio into text with an advanced AI processing pipeline. Transcribe in real-time as you speak, identify who said what with speaker diarization, and automatically enhance noisy recordings. Upload single files or batch process multiple at once, then search across all your transcripts instantly. Export to TXT, SRT, VTT, or JSON, with support for 99+ languages and auto-detection. Connect webhooks for automation workflows. Start free — no credit card required.

memories.sh — One layer for memories, skills, and rules across any agent

One layer for memories, skills, and rules across any agent

I started building Scribzy because existing transcription tools either choke on noisy audio, don't support live streaming, or are way too expensive for what they offer. So I built the whole thing from scratch — the AI processing pipeline, the backend API, the frontend, billing system, and the entire infrastructure. The hardest part was the audio pipeline — getting the AI to automatically detect what kind of audio it's dealing with and route it through the right processing. That took months of iteration. Real-time streaming was another challenge. Building an architecture that feels responsive while running GPU inference required a lot of fine-tuning. Would love your feedback — especially on audio quality and the streaming experience!

memories.sh — One layer for memories, skills, and rules across any agent

One layer for memories, skills, and rules across any agent

Scribzy

AI-powered audio transcription with real-time streaming

AI-powered audio transcription with real-time streaming